NVIDIA
Employer Industry: Cloud Computing and Artificial Intelligence
Why consider this job opportunity
Salary up to $425,500
Eligibility for equity and comprehensive benefits
Opportunity to lead and innovate in the rapidly evolving field of GPU cloud computing
Collaborative and supportive work environment with a focus on mentorship
Chance to make a significant impact in the fields of Deep Learning and AI
Job Responsibilities
Design and oversee the implementation of robust GPU cloud architectures for scalable and resilient applications
Develop, optimize, and maintain cloud-based software solutions, focusing on performance and reliability
Work closely with cross-functional teams to deliver high-quality cloud solutions
Mentor junior engineers, providing guidance on best practices and technical development
Identify and implement new technologies and methodologies to improve cloud infrastructure and software development processes
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
15+ years of software development experience, with at least 5 years focused on cloud technologies
Strong knowledge and experience in OOP concepts and Build Patterns, with in-depth experience in large-scale back-end systems
Proficiency in RDBMS and NoSQL databases such as Cassandra, DynamoDB, and Redis
Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues
Preferred Qualifications
Operational experience with large-scale applications
Hold advanced cloud certifications (e.g., AWS Certified Solutions Architect – Professional)
Demonstrate active participation in open source projects, showcasing contributions to the community
Familiarity with InfluxDB, RDS, Elasticsearch, Solr, and Splunk
Experience in designing, implementing, and managing streaming projects and technologies (e.g., Kafka, Spark, Flink)
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Why consider this job opportunity
Salary up to $425,500
Eligibility for equity and comprehensive benefits
Opportunity to lead and innovate in the rapidly evolving field of GPU cloud computing
Collaborative and supportive work environment with a focus on mentorship
Chance to make a significant impact in the fields of Deep Learning and AI
Job Responsibilities
Design and oversee the implementation of robust GPU cloud architectures for scalable and resilient applications
Develop, optimize, and maintain cloud-based software solutions, focusing on performance and reliability
Work closely with cross-functional teams to deliver high-quality cloud solutions
Mentor junior engineers, providing guidance on best practices and technical development
Identify and implement new technologies and methodologies to improve cloud infrastructure and software development processes
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
15+ years of software development experience, with at least 5 years focused on cloud technologies
Strong knowledge and experience in OOP concepts and Build Patterns, with in-depth experience in large-scale back-end systems
Proficiency in RDBMS and NoSQL databases such as Cassandra, DynamoDB, and Redis
Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues
Preferred Qualifications
Operational experience with large-scale applications
Hold advanced cloud certifications (e.g., AWS Certified Solutions Architect – Professional)
Demonstrate active participation in open source projects, showcasing contributions to the community
Familiarity with InfluxDB, RDS, Elasticsearch, Solr, and Splunk
Experience in designing, implementing, and managing streaming projects and technologies (e.g., Kafka, Spark, Flink)
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr